Kalman filtering techniques in speech coding

Author

Crisafulli, Sam ; Mills, James D. ; Bitmead, Robert

Author_Institution

Dept. Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia

Volume

1

fYear

1992

fDate

23-26 Mar 1992

Firstpage

77

Abstract

The use of Kalman filtering (KF) techniques in speech coding is investigated. The authors show that the common linear predictor (LP) is a special case of the KF based on an all-pole signal model. They also show that the KF algorithm provides fixed-lag smoothing at no additional complexity. Simulation results reveal that KF based speech coding has significant advantage over the equivalent LP based systems, particularly when used with coarsely quantized measurements

Keywords

Kalman filters; filtering and prediction theory; linear predictive coding; pulse-code modulation; speech coding; ADPCM; Kalman filtering techniques; adaptive differential pulse code modulation; all-pole signal model; coarsely quantized measurements; fixed-lag smoothing; linear predictor; speech coding; Australia; Decoding; Equations; Filtering; Kalman filters; Pulse modulation; Quantization; Smoothing methods; Speech coding; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.225968

Filename

225968